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bert-gpqa-laundry-v2
afaji/bert-gpqa-laundry-v2
bert-gpqa-laundry-v2 is a multiple choice model from afaji. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024
- SHA
- 305af57b
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-gpqa-laundry-v2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 12.8866
- Accuracy: 0.4978
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 63 | 16.9548 | 0.2433 |
| No log | 2.0 | 126 | 16.3764 | 0.3527 |
| No log | 3.0 | 189 | 15.3188 | 0.4152 |
| No log | 4.0 | 252 | 14.4714 | 0.4598 |
| No log | 5.0 | 315 | 14.0562 | 0.4375 |
| No log | 6.0 | 378 | 13.5433 | 0.4710 |
| No log | 7.0 | 441 | 13.6167 | 0.4888 |
| 5.5435 | 8.0 | 504 | 13.6008 | 0.4911 |
| 5.5435 | 9.0 | 567 | 12.8866 | 0.4978 |
| 5.5435 | 10.0 | 630 | 12.9454 | 0.4888 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024